Evidence map›Paper›PMID 27994134›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2017

Common and heritable components of white matter microstructure predict cognitive function at 1 and 2 y.

Seung Jae Lee, Rachel J Steiner, Yang Yu, Sarah J Short, Michael C Neale, Martin Andreas Styner, Hongtu Zhu, John H Gilmore

Open access · bronzeAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
5.1field-weighted citation impact, top 4% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

30 citing papers in PubMed, 55 citations in OpenAlex.

  1. Article
  2. The Neurobiology of Life Course Socioeconomic Conditions and Associated Cognitive Performance in Middle to Late Adulthood.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024
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  11. Evaluating endophenotypes for bipolar disorder.International journal of bipolar disorders · 2021
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 2 institutions in 2 countries.

Seung Jae LeeDepartment of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599.
Rachel J SteinerDepartment of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599.ORCID 0000-0001-6796-1592
Yang YuDepartment of Statistics and Operations Research, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599.
Sarah J ShortDepartment of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599.
Michael C NealeVirginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, VA 23298.
Martin Andreas StynerDepartment of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599.
Hongtu ZhuDepartment of Biostatics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599.
John H GilmoreDepartment of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599; jgilmore@med.unc.edu.
University of North Carolina at Chapel Hill · USVirginia Commonwealth University · US

Funding

UNC CLINICAL AND TRANSLATIONAL SCIENCE AWARD: BPCAUL1RR025747 · NCRR · UNIV OF NORTH CAROLINA CHAPEL HILL · PI RUNGE, MARSCHALL S. · 2008 to 2011
$44.6M
Prospective study of the onset of schizophreniaP50MH064065 · NIMH · UNIV OF NORTH CAROLINA CHAPEL HILL · PI BELGER, AYSENIL · 2002 to 2011
$19.6M
Early Brain Development in TwinsR01MH070890 · NIMH · UNIV OF NORTH CAROLINA CHAPEL HILL · PI GILMORE, JOHN HORACE · 2004 to 2014
$5.3M
Early Brain Development in One and Two Year OldsR01HD053000 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI GILMORE, JOHN HORACE · 2007 to 2018
$4.4M
Early Brain Development in TwinsU01MH070890 · NIMH · UNIV OF NORTH CAROLINA CHAPEL HILL · PI GILMORE, JOHN HORACE · 2015 to 2019
$2.9M
Statistical Analysis of Biomedical Imaging Data in Curved SpaceR01MH086633 · NIMH · UNIV OF NORTH CAROLINA CHAPEL HILL · PI IBRAHIM, JOSEPH G · 2010 to 2018
$2.9M
White Matter and Working Memory Development in Typical and High-Risk ChildrenK01MH099411 · NIMH · UNIV OF NORTH CAROLINA CHAPEL HILL · PI SHORT, SARAH J · 2013 to 2016
$614k
NCRR NIH HHS UL1 RR025747NICHD NIH HHS R01 HD053000NIMH NIH HHS K01 MH099411NIMH NIH HHS P50 MH064065NIMH NIH HHS R01 MH070890NIMH NIH HHS R01 MH086633NIMH NIH HHS U01 MH070890
6 · The paper itself

Abstract

Previous studies indicate that the microstructure of individual white matter (WM) tracts is related to cognitive function. More recent studies indicate that the microstructure of individual tracts is highly correlated and that a property common across WM is related to overall cognitive function in adults. However, little is known about whether these common WM properties exist in early childhood development or how they are related to cognitive development. In this study, we used diffusion tensor imaging (DTI) to investigate common underlying factors in 12 fiber tracts, their relationship with cognitive function, and their heritability in a longitudinal sample of healthy children at birth (n = 535), 1 y (n = 322), and 2 y (n = 244) of age. Our data show that, in neonates, there is a highly significant correlation between major WM tracts that decreases from birth to 2 y of age. Over the same period, the factor structure increases in complexity, from one factor at birth to three factors at age 2 y, which explain 50% of variance. The identified common factors of DTI metrics in each age group are significantly correlated with general cognitive scores and predict cognitive ability in later childhood. These factors are moderately heritable. These findings illustrate the anatomical differentiation of WM fiber from birth to 2 y of age that correlate with cognitive development. Our results also suggest that the common factor approach is an informative way to study WM development and its relationship with cognition and is a useful approach for future imaging genetic studies.

Indexed as

Child, PreschoolCognitionDiffusion Tensor ImagingFemaleHumansImage Processing, Computer-AssistedInfantInfant, NewbornLongitudinal StudiesMaleTwinsWhite MattercognitionDTIfactor analysisheritabilitywhite matter

Identifiers

PMID27994134
PMCPMC5224366
OpenAlexW2565311030

What OpenQuestion holds

Textmetadata
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.